A Portfolio That Gets You Your First Job

When you're a student, you don't have a five-year work history to fill a resume. A portfolio fills that gap. It lets you showcase class projects, hackathon submissions, open-source contributions, and personal projects in a way that demonstrates real coding ability — even if your professional experience section is thin. For internship and new-grad applications, a strong portfolio is often the difference between getting an interview and getting filtered out.

A portfolio also gives you something to talk about in interviews. Instead of abstractly describing what you learned in a data structures class, you can walk an interviewer through a project you built and explain the technical decisions you made. This transforms you from a student into a candidate with demonstrated engineering capability.

The AI is designed to work with the inputs students actually have. It doesn't expect a ten-year career — it's tuned to extract maximum value from GitHub repos (including class projects and hackathon forks), a student-focused resume format, and LinkedIn profiles that may be newer. It identifies your strongest projects and writes professional descriptions that frame them as engineering experience. The AI also handles the awkward parts of student portfolios: it generates a compelling 'About Me' section from limited professional history, frames coursework as technical skills, and structures the portfolio so that your potential — not just your past — comes through clearly.